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Introduction to Regression Modeling (with CD-ROM) - Bovas Abraham, Johannes Ledolter

Introduction to Regression Modeling (with CD-ROM)

Media-Kombination
448 Seiten
2005 | New edition
Duxbury Press
978-0-534-42075-8 (ISBN)
CHF 174,55 inkl. MwSt
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This textbook describes the linear regression model with a single predictor variable, regression models containing several explanatory variables, nonlinear models, regression models with time series errors, and logistic and Poisson regression models. Students should have already completed a course in statistics and linear algebra.
Looking for an easy-to-understand text to guide you through the tough topic of regression modeling? INTRODUCTION TO REGRESSION MODELING (WITH CD-ROM) offers a blend of theory and regression applications and will give you the practice you need to tackle this subject through exercises, case studies. and projects that have you identify a problem of interest and collect data relevant to the problem's solution. The book goes beyond linear regression by covering nonlinear models, regression models with time series errors, and logistic and Poisson regression models.

Bovas Abraham is the former Director of the Institute for Improvement in Quality and Productivity, and is also a professor in the Department of Statistics and Actuarial Science at the University of Waterloo. Bovas received his Ph.D. from the University of Wisconsin, Madison. He has held visiting positions at the University of Wisconsin, the University of Iowa, and the University of Western Australia. He is the author of the book STATISTICAL METHODS FOR FORECASTING (with Johannes Ledolter) published by Wiley in 1983, and the editor of the volume QUALITY IMPROVEMENT THROUGH STATISTICAL METHODS published by Birkhauser in 1998. Johannes Ledolter is the John F. Murray Professor of Management Sciences at the University of Iowa, and a Professor at the Vienna University of Economics and Business Administration. His graduate degrees are in Statistics (M.S. and Ph.D. from the University of Wisconsin, and M.S. from the University of Vienna). He has held visiting positions at Princeton University and Yale University. He is the author of four books: STATISTICAL METHODS FOR FORECASTING (with Bovas Abraham) published by Wiley in 1983, STATISTICS FOR ENGINEERS AND PHYSICAL SCIENTISTS (2nd edition, with Robert V. Hogg) published by Macmillan in 1991, STATISTICAL QUALITY CONTROL (with Claude W. Burrill) published by Wiley in 1999, and ACHIEVING QUALITY THROUGH CONTINUAL IMPROVEMENT (with Claude W. Burrill) published by Wiley in 1999.

1. Introduction to Regression Models.
2. Simple Linear Regression.
3. A Review of Matrix Algebra and Important Results of Random Vectors.
4. Multiple Linear Regression Model.
5. Specification Issues in Regression Models.
6. Model Checking.
7. Model Selection.
8. Case Studies in Linear Regression.
9. Nonlinear Regression Models.
10. Regression Models for Time Series Situations.
11. Logistic Regression.
12. Generalized Linear Models and Poisson Regression.
Brief Answers to Selected Exercises.
Statistical Tables.
References.

Sprache englisch
Maße 194 x 240 mm
Gewicht 892 g
Themenwelt Mathematik / Informatik Mathematik
ISBN-10 0-534-42075-3 / 0534420753
ISBN-13 978-0-534-42075-8 / 9780534420758
Zustand Neuware
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